A Framework of Multiagent Systems Behavioral Control Under State-Dependent Network Protocols

El-Férik, Sami; Al-Rawashdeh, Yazan M.; Lewis, Frank L.

doi:10.1109/tcns.2019.2940264

Cited by 5 publications

(2 citation statements)

References 36 publications

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“…(3) The proposed consensus strategy is purely distributed. This is different from [17], where global information including eigenvectors of the system is essential. (4) The results fall into the category of soft constrained consensus, in which the initial states are permitted to sit outside of the individual constraint sets.…”

Section: Introductionmentioning

confidence: 97%

“…The work is extended to address finite-time consensus for single integrator agents over state-dependent undirected graphs containing some inherent communication links [16]. Based on the analysis of the spectrum and eigenvector of the system, the work [17] proposes a unifying framework for reaching arithmetic, geometric and harmonic average consensus, where the communication network is undirected and modulated by distance. A distributed convex optimization problem has been studied in [18] for a state-dependent undirected multiagent network.…”

Section: Introductionmentioning

confidence: 99%

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Constrained Consensus in State-Dependent Directed Multiagent Networks

Shang

2022

IEEE Trans. Netw. Sci. Eng.

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In this paper, constrained consensus of a group of continuous-time dynamical agents over state-dependent networks is investigated. The communication network, modulated by an asymmetric distance between agents, accommodates general directed information flows. Each agent proposes a comfortable range in a distributed manner, where they are inclined to agree on the final equilibrium state. Based on Lyapunov stability theory and robustness analysis, different conditions have been obtained to guarantee convergence within the common comfortable range when the network connectivity is fixed and time-varying. No global information is required in the proposed nonlinear control protocols. Furthermore, an opinion dynamics model has been introduced incorporating both social observer effect and bounded confidence phenomenon in the same state-dependent framework. Relaxed consensus conditions have been derived under certain symmetric assumptions. Finally, numerical examples have been presented to verify the effectiveness of the theoretical results.

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Section: Introductionmentioning

confidence: 97%